Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Federated Learning 連合学習
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
regonn
March 24, 2023
Technology
1.9k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Federated Learning 連合学習
Regonn @関西Kaggler交流会 2023/03/24
regonn
March 24, 2023
More Decks by regonn
See All by regonn
Allora Network が実現する 「予測の経済圏」
regonn
0
35
Submission with Numerai Compute using GCP Batch
regonn
0
700
HelloMoon x Orca=HelloOrca
regonn
0
180
The Challenge of Automatically Configuring Numerai Compute Environment
regonn
0
150
PLATEAUをデータベースに取り込んでみた
regonn
0
1.8k
古参Numerai参加者の戯言
regonn
1
2.6k
Nim + Cloud Run + TerraformでGCPにNimのサーバーレス環境を作る
regonn
1
700
S+ Camera Basicと似た環境をラズパイから構築してみる
regonn
0
570
衛星画像のゴルフ場写り込み判定AIモデルを作る
regonn
0
910
Other Decks in Technology
See All in Technology
全員がプロダクトへ向き合う組織を持続成長させるために——組織づくりのフライホイールと4象限 / The Flywheel Model and Four Quadrants for Organizational Design
hiro_torii
3
860
KPIだけでは評価できないプロダクトが考えるべき Evalsという第二の評価系 / Beyond KPIs: Evals as a Second Evaluation Framework for Products #PdEConf
aki_iinuma
4
3.7k
書籍『生成AIの安全性入門』の入門
wataoka
0
220
PM領域でのAI Agentの活用
lycorptech_jp
PRO
0
270
AIで開発は速くなったのに、なぜ現場は楽にならないのか 〜あなたの組織のボトルネックを突き止めるワークショップ〜
jacopen
1
270
Multica × 長期記憶:40個のミニプロジェクト管理
eiei114
0
140
ブラウザアプリの継続的パフォーマンスモニタリング (序) / Continuous Browser Application Performance Monitoring; Act 1
moznion
0
110
AndroidでHDRメディアを「壊さずに」扱う
chigichan24
0
410
設計の世代交代を乗り越える、14年続くAndroidアプリの開発戦略
sansantech
PRO
1
150
PdMをやめて、 "プロダクトビルダー"という 働き方に変えました / PdM to Product Builder
shikichee
2
720
AI時代のAPI品質を支えるガードレール / API Guardrails for API quality in the AI era
yokawasa
1
120
Redmine 7.0で私が開発した新機能の狙いと背景
vividtone
1
110
Featured
See All Featured
Building a Scalable Design System with Sketch
lauravandoore
463
34k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
870
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
470
The #1 spot is gone: here's how to win anyway
tamaranovitovic
3
1.2k
Why Our Code Smells
bkeepers
PRO
340
58k
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
0
510
Color Theory Basics | Prateek | Gurzu
gurzu
0
460
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Why You Should Never Use an ORM
jnunemaker
PRO
61
10k
Leo the Paperboy
mayatellez
8
2.2k
Skip the Path - Find Your Career Trail
mkilby
1
220
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
230
Transcript
Regonn @ؔKagglerަྲྀձ 2023/03/24 Federated Learning ࿈߹ֶश
Regonn (@regonn_haizine) • Kaggle Competition Expert • Kaggle ؔ࿈ Podcast
(with ΧϨʔͪΌΜ) • ౡࠜͷϑϦʔϥϯε • ϒϩοΫνΣʔϯɾϝλόʔεɾػցֶश(Ӵσʔλɾ)ͷࣄҊ݅ • Solana Japan Orca(DEX: ࢄऔҾॴ) ͷ CM • ڈ͔Βۀ࢝Ίͯ·͢
࠷ۙ AI ͷਐา֮·͍͠ • ChatGPT-4 • Hugging Face ͷ͓͔͛Ͱɺత(Task)ʹ߹ͬͨɺֶशࡁΈϞσϧΛར༻͠ ͘͢ͳ͖͍ͬͯͯΔ
औಘ͕͍͠σʔλᶃ • ΤοδσόΠεσʔλ • ௨৴ଳҬͳͲͷ੍ݶ • શͯͷηϯαʔσʔλऔಘ͍͠
औಘ͕͍͠σʔλᶄ • ҩྍσʔλɾސ٬σʔλ • ϓϥΠόγʔ • ଞࣾؒͰͷڞ༗
Federated Learning(FL) ࢄͯ͠อ࣋͞ΕͨσʔλΛऩूɾू͢Δ͜ͱͳ͘ػցֶशϞσϧͷ܇࿅ʹ ༻͍Δํ๏
Federated Learning(FL)ͷछྨ • ਫฏ࿈߹ֶश • ਨ࿈߹ֶश • ࿈߹సҠֶश
ਫฏ࿈߹ֶश • ͦΕͧΕ͕ɺಉ͡ಛྔͰɺҟͳΔσʔληοτΛ͍࣋ͬͯͨ߹ • ΤοδσόΠεͰ͜ͷλΠϓ
ਫฏ࿈߹ֶश ᶃ ᶄ ᶅ ᶃϩʔΧϧͰֶश ᶄதԝαʔόʔʹଛࣦޯใΛૹΔ ᶅதԝαʔόʔͰΞϯαϯϒϧతॲཧ(ޯฏۉԽ) ᶆߋ৽͞ΕͨϞσϧΛશͯฦ͢ ᶆ
ਨ࿈߹ֶश • ͦΕͧΕಛྔҟͳΔ͕ɺಉ͡λʔήοτͷσʔλΠϯσοΫε͕ଘࡏ͢ Δ߹ ߴ ϩʔϯ ސ٬A xx yy ௨৴ྔ
՝ֹۚ ސ٬A xx yy ΫϨδοτΧʔυͷσϑΥϧτ༧ଌ σϑΥϧτ ސ٬A 1
ਨ࿈߹ֶश ߴ ϩʔϯ ސ٬A xx yy ސ٬C zz ww ௨৴ྔ
՝ֹۚ ސ٬A kk mm ސ٬B aa bb σϑΥϧτ ސ٬A 1 ސ٬D 0 ※ݫີͰͳ͍ தԝαʔόʔͰ҉߸伴Λ࡞Γެ։伴Λɺ ͦΕͧΕͷϩʔΧϧͰ҉߸Խ͠ɺ ΞϊχϚΠζ͞ΕͨσʔλͰֶश ߴ ϩʔϯ ௨৴ྔ աֹۚ σϑΥϧτ ސ٬A xx yy kk mm 1
࿈߹సҠֶश • ಛྔλʔήοτҟͳΔ߹ • ࣅ͍ͯΔυϝΠϯྖҬ • αΠζ͕େ෯ʹҟͳΔ߹
Federated Learningͷใु • ͦΕͧΕͷɺϞσϧߩݙʹԠͯ͡ใुΛܭࢉ͢ΔϩδοΫݚڀ͞Εͯ ͍Δ
Numerai • ۚ༥σʔλͷਨ࿈߹ֶशతͳͷ͕Ͱ͖͍ͯΔ • શੈքגࣜࢢͷגՁͷಈ͖ΛNumeraiଆ͕࡞ͨ͠Target 0~1Ͱ༧ଌ͢Δ • Numerai Signals ͰɺಛྔࣗͰ༻ҙͯ͘͠Δ
• ࣮ࡍʹσʔλͰϑΝϯυ͕ӡ༻͞ΕͯɺརӹͷҰ෦ΛϞσϧͷߩݙʹԠ͡ ͯ͞ΕΔ
Federated Learning ϥΠϒϥϦؔ࿈ • େ͖Ίͷͷͩͱ • https://github.com/tensorflow/federated • TensorflowFederated: Tensorflow
ͷެࣜ Federated ϥΠϒϥϦ • https://github.com/OpenMined/PySyft • PySyft: PyTorch Λ͏߹ͩͬͨΒɺͪ͜ΒΛ͏ • ͓ͦΒ͘ɺϥΠϒϥϦ͚ͩͰͳ͘αʔϏεࠓޙ૿͖͑ͯͦ͏
ࢀߟਤॻ Federated Learning: ϓϥΠόγʔอޢԼʹ͓͚Δػցֶश
ऴΘΓ